2013 AMS Annual Meeting


Special Symposium on the Joint Center for Satellite Data Assimilation

The theme for the 2013 AMS Annual Meeting is “Taking Predictions to the Next Level: Expanding Beyond Today's Weather, Water, and Climate Forecasting and Projections”.  Over the past 60 years the meteorological community has made tremendous strides in making prediction a fundamental part of its scientific and operational/service heritage through the development and application of complex numerical models involving the atmosphere, ocean, land and cryosphere components of the Earth System.

 Much of this progress has been made possible by the development of better data assimilation systems that in turn have made it possible for the operational prediction centers to increase and improve their use of a wider range of observing systems. For certain application areas – especially numerical weather prediction - the increased use of satellite data has been a critical element of this overall thrust since comprehensive spatial and temporal coverage of weather data for the full global domain can only be obtained from space.

The Joint Center for Satellite Data Assimilation is an interagency collaboration sponsored by NASA, NOAA, the US Air Force and the US Navy that is tasked with improving and accelerating the use of satellite data and related research in operational environmental prediction systems. As one of its primary responsibilities, the JCSDA strives to help the operational agencies implement data from new satellites as quickly as possible after launch. Thus, the JCSDA helps the nation maximize the benefits from its investment in these systems. The Symposium will include both invited and contributed presentations and we solicit presentations highlighting the role of satellite data in numerical weather prediction, as well as on the current and potential future use of satellite data in air quality, ocean, land surface, and climate prediction systems. Contributions may focus on the data themselves or on algorithmic developments that are/will be necessary to optimize the use of the data.

For additional information please contact the program chairperson, Lars Peter Riishojgaard (email:

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